jewelry box packaging paper wholesale ETL What does it mean

jewelry box packaging paper wholesale What does it mean

5 thoughts on “jewelry box packaging paper wholesale ETL What does it mean”

  1. turquoise and coral jewelry wholesale ETL,-Loading's abbreviation, the Chinese name is data extraction, conversion, and loading.
    In general with the development of the business, there are more and more production lines, and more and more data generates. The collection methods, original data formats, data volume, storage requirements, and use scenarios are A big difference.
    The data extraction means that the ODS source data is extracted into DW. The data is pulled. After cleaning, it needs to be displayed. Generally, the cleaned data is loaded into mysql, and then used in each system, or uses Tableau directly to the relevant personnel. The metadata management system is necessary for the data warehouse, and the relevant personnel must be maintained regularly. If the changes in the metadata and the data warehouse are not synchronized, the metadata system is similar.

    The process of extension
    etl, common methods include ETL or ELT, and mixed use. Generally, the more a large amount of data, complex conversion logic, and the purpose of the destination is a database with strong computing power. The purpose is to integrate data from scattered, zero chaos and standards in the enterprise together to provide an analysis basis for the decision -making of the enterprise. It is an important link for commercial intelligent projects.
    Reference materials: Baidu Encyclopedia-ETL

  2. wholesale ab rhinestone jewelry It is necessary to involve data drawing, data calculation, and processing process development of data sources. They are ETL. ETLs are drawn, conversion, loading, and loading.
    The data from different data sources, processing and format conversion of data in accordance with certain data processing rules, and the final processing output to the target data table may also be files, etc. This is loading.
    Ittically, the process of ETL is the same as everyone cooking daily. You need to go to various booths in the vegetable market to buy good food. Buy the dishes and pick it up. Good end to the dining table. Each stall in the vegetable market is the data source, and the good dishes are the final output results. All processes in the middle are like picking, washing, cutting vegetables, and cooking.
    In development, most of the time will be implemented through the ETL tools, such as commonly used like Kettle, Pentaho, IBM DataStage, SSIS in Microsoft SQL Server, etc., to achieve the entire ETL process in combining the basic SQL process to achieve the basic SQL process Essence
    It also develop it by the program, and then control some data processing script running batch, which is basically the program and SQL implementation.
    The method is better, it also needs to look at the use of scenarios and developers more handy in that way. I see most software program developers, and when I encounter data projects, I prefer to use program control running. This is a natural continuation of program thinking. Most of the pure BI developers naturally choose mature ETL tools to develop. Of course, there are also program scripts when they come up. The masters of such BI developers are basically transferred by programmers.
    The advantage of the program is that the adaptability, strong scalability, can be integrated or disassembled to any program processing process, and sometimes the use of program development efficiency is higher. Difficulties are difficult to have certain technical requirements for maintenance personnel, insufficient experience transfer and replication.
    The benefits of ETL tools. The first is that the development process of the entire ETL can be visualized, especially in the layered design of the data processing process. The second is that when linking to different data sources, the link protocols of various data sources and databases have been built up, and the configuration can be directly configured. There is no need to write a program to implement it. The third is that various conversion controls are basically dragged and can be used, which is simplified to replace some SQL development. There is no need to write code to implement. The fourth is that it can be very flexible to design various ETL scheduling rules and highly configuration. This does not need to write code implementation.
    So in most universal projects, more development will be developed with ETL standard components on the project.
    etl can generally be divided into two layers from the logic, control flow and data flow. This is also the concept of many ETL tool design. Different ETL tools may be called different ways.
    The control stream is the process of controlling each data stream and data flow processing. One control flow can contain multiple data streams. For example, during the development of the data warehouse, the processing of the first layer is the development of the ODS layer or the Staging layer. The second layer is the development of the Dimension dimension layer. The latter layer is the development of the DW facts and the DM data market. Through ETL scheduling management, these layers can be connected in series to form a complete data processing process.
    The data stream is the data conversion process of specific source data to the target data table, so there are also ETL tools calling the data stream as conversion. During the development and design of the data stream, it is mainly three links, the link of the target data table, which can be configured directly through the ETL control configuration. In the intermediate conversion link, there may be a lot of choices at this time, adjusting SQL statements, storage procedures, or using ETL controls to implement.
    The items are used to using ETL controls to implement the conversion in the data stream. Some projects require that the standard conversion component that does not use standard conversion components is used to call. There are also because the database of the data warehouse itself does not support the storage procedure can only be achieved through standard SQL.
    We BI data architects we usually talk about actually refer to the architectural design of ETL. This is a very core layer of technology in the entire BI project. Data processing, data cleaning and modeling are all realized in ETL to achieve Essence A good ETL architecture design can support hundreds of packages at the same time as the control flow. Each control flow may have hundreds of data flow processing processes. I have written a technical article before, you can search for the keyword BiWork ETL on the Internet. This framework design is not only the design of the ETL framework architecture, but also a deep ETL project management and standardized controller ideas, including the later operation and maintenance. Based on BI -based BI analysis, the performance tuning of ETL will be in these frameworks. It is reflected in. Because large BI projects may need dozens of people to develop ETL at the same time, the top -level design of the framework is important.

  3. jewelry wholesaler la ETL is generally packed with commercial intelligence. In other words, those who need ETL may use BI.
    It the landlord to try FINEBI, a good software!

  4. wholesale jewelry rochester ny larry ETL refers to the ETL test laboratory company (ETL Testing Inc). ETL's list of names is recognized by "HAVING) and can be considered" approved. " In most areas of the United States, the approval of electrical products is compulsory.

  5. quality wholesale jewelry beads This era is an era of information. Mastering the law of information development, the profit of the company has maximized. Our company has always chosen FineBi developed and established by Sailing Software in 1989 as the main basis for corporate analysis and decision -making!

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